Issue with VectorUDT when using Spark ML

I am writing an UDAF to be applied to a Spark data frame column of type Vector (spark.ml.linalg.Vector). I rely on spark.ml.linalg package so that I do not have to go back and forth between dataframe and RDD.

Inside the UDAF, I have to specify a data type for the input, buffer, and output schemas: